Armada:具有良好语义可扩展性的并发代码的自动验证

IF 1.5 2区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Programming Languages and Systems Pub Date : 2022-05-27 DOI:https://dl.acm.org/doi/full/10.1145/3502491
Jacob R. Lorch, Yixuan Chen, Manos Kapritsos, Haojun Ma, Bryan Parno, Shaz Qadeer, Upamanyu Sharma, James R. Wilcox, Xueyuan Zhao
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引用次数: 0

摘要

安全地编写高性能并发程序是出了名的困难。为了帮助开发人员,我们介绍了Armada,这是一种语言和工具,旨在以相对较少的工作量正式验证此类程序。通过类似c的语言和基于状态机的小步骤语义,armadagias为开发人员提供了选择任意内存布局和同步原语的灵活性,这样他们在追求性能时就不会受到限制。为了减少开发人员的工作量,armadal利用了smt驱动的自动化和一个强大的推理技术库,包括可靠性保证、TSO消除、减少和指针分析。所有这些技术都被证明是可靠的,并且随着时间的推移,Armadacan可以使用其他策略进行扩展。使用Armada,我们验证了五个并发的案例研究,并表明我们可以获得与未经验证的代码相当的性能。
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Armada: Automated Verification of Concurrent Code with Sound Semantic Extensibility

Safely writing high-performance concurrent programs is notoriously difficult. To aid developers, we introduce Armada, a language and tool designed to formally verify such programs with relatively little effort. Via a C-like language and a small-step, state-machine-based semantics, Armadagives developers the flexibility to choose arbitrary memory layout and synchronization primitives so that they are never constrained in their pursuit of performance. To reduce developer effort, Armadaleverages SMT-powered automation and a library of powerful reasoning techniques, including rely-guarantee, TSO elimination, reduction, and pointer analysis. All of these techniques are proven sound, and Armadacan be soundly extended with additional strategies over time. Using Armada, we verify five concurrent case studies and show that we can achieve performance equivalent to that of unverified code.

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来源期刊
ACM Transactions on Programming Languages and Systems
ACM Transactions on Programming Languages and Systems 工程技术-计算机:软件工程
CiteScore
3.10
自引率
7.70%
发文量
28
审稿时长
>12 weeks
期刊介绍: ACM Transactions on Programming Languages and Systems (TOPLAS) is the premier journal for reporting recent research advances in the areas of programming languages, and systems to assist the task of programming. Papers can be either theoretical or experimental in style, but in either case, they must contain innovative and novel content that advances the state of the art of programming languages and systems. We also invite strictly experimental papers that compare existing approaches, as well as tutorial and survey papers. The scope of TOPLAS includes, but is not limited to, the following subjects: language design for sequential and parallel programming programming language implementation programming language semantics compilers and interpreters runtime systems for program execution storage allocation and garbage collection languages and methods for writing program specifications languages and methods for secure and reliable programs testing and verification of programs
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